According to the 2019 census, 2.2% (0.9 million people) of Kenyans live with some form of disability, with mobility difficulties being the most common.
Filter counties to include in analysis:
National Average (): —%
Group counties based on similarity across all disability domains using K-means clustering.
The 2019 census recorded a disability prevalence rate of 2.2%, which is significantly lower than the WHO's global estimate of 15%. This suggests substantial underreporting or methodological issues in data collection.
Potential causes: Stigma, translation issues, inclusion of "Don't know" option, and exclusion of children under 5.
The 2019 census introduced the Washington Group Questions, representing a significant improvement in disability measurement methodology. However, this change makes direct comparison with the 2009 census problematic.
2009 vs 2019: The 2009 census reported 3.5% prevalence, but when adjusted for the same age threshold (5+ years), it was actually 3.8%.
Gender: Women report higher disability rates (2.5%) compared to men (1.9%), reversing the trend from 2009 where rates were more similar (3.7% men vs 3.9% women).
Urban-Rural Divide: Rural areas have nearly double the disability prevalence (2.6%) compared to urban areas (1.4%).
Disability prevalence shows clear geographic patterns:
This distribution may reflect both actual prevalence differences and varying levels of reporting accuracy.
Washington Group Questions: The 2019 census used internationally comparable questions focusing on functional difficulties across six domains.
Training: Enumerators received sensitivity training and guidance on proper administration of disability questions.
Technology: Kenya's first paperless census improved data collection efficiency.
Mobility difficulties are the most common disability type (0.4 million people, 42% of people with disabilities), followed by:
Translation Issues: Questions translated into local languages may have lost nuance, potentially affecting response accuracy.
Stigma: Cultural stigma around disability may have led to underreporting, despite enumerator training.
Albinism Question: Inclusion of albinism in the disability section may have confused respondents, as it's not a functional disability.
"Don't Know" Option: Non-standard inclusion of this response option may have reduced reported prevalence rates.
Resource Allocation: Underreporting could lead to inadequate funding for disability services and programs.
COVID-19 Response: Inaccurate data hampers effective targeting of vulnerable populations during the pandemic.
Future Planning: The Washington Group framework provides a foundation for improved future data collection and comparability.
DPO Involvement: Organizations of persons with disabilities played a crucial role in advocating for better data collection methods.
Data Source: Kenya National Bureau of Statistics - 2019 Kenya Population and Housing Census
Analysis based on "Status of disability in Kenya: Statistics from the 2019 census"